| Abstract
| - A three-layer feed-forward neural network was constructed and tested to analyze the kinetic dye uptake of abatch activated carbon adsorption process. The operating variables studied are the contact time, initial dyeconcentration, agitation speed, temperature, initial solution pH, activated carbon mass, and volume of the dyesolution treated. The studied operating variables were used as the input to the constructed neural network topredict the dye uptake at any time as the output or the target. The constructed network was found to beprecise in modeling the rate of dye uptake for the operating conditions studied. The constructed neural networkwas found to be highly precise in predicting the dye uptake rate for the new input data, which are keptunaware of the trained neural network showing its applicability to determine the reaction rate for any operatingconditions.
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